Neuberger Berman Jobs

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Neuberger Berman Trainee - Fixed Income Quant Team 12-month FTC in United Kingdom

About Neuberger Berman:

Neuberger Berman, founded in 1939, is a private, independent, employee-owned investment manager. The firm manages a range of strategies—including equity, fixed income, quantitative and multi-asset class, private equity, real estate, and hedge funds—on behalf of institutions, advisors, and individual investors globally. With offices in 25 countries, Neuberger Berman’s diverse team has over 2,400 professionals. For eight consecutive years, the company has been named first or second in Pensions & Investments Best Places to Work in Money Management survey (among those with 1,000 employees or more). In 2020, the PRI (https://www.nb.com/en/us/esg/collaboration) named Neuberger Berman a Leader, a designation awarded to fewer than 1% of investment firms for excellence in Environmental, Social and Governance (ESG) practices. The PRI also awarded Neuberger Berman an A+ in every eligible category for our approach to ESG integration across asset classes. The firm manages $460 billion in client assets as of December 31, 2021.

For more information, please visit our website at www.nb.com .

Position Overview

We are seeking trainee who will be working hands-on with Neuberger Berman’s Quant Team on existing research (live models) and development projects. The Quant Team is interested in all aspects of Machine Learning including predictive modelling, pattern recognition, clustering, time series analysis, natural language processing. You will receive feedback and mentoring throughout the program to ensure you get the most out of the experience. This opportunity provides the chance to gain unique insights into the industry and building strategies.

We believe this represents an excellent opportunity for an enthusiastic, hard-working professional to initiate their career and build up experience in a demanding but rewarding environment.

As the Trainee in the Fixed Income team, you will work with more senior members of the team and be exposed to a variety of tasks including:

What you will be involved in

Applying and extending existing results in the broad field of machine learning

Managing all aspects of the research process including methodology selection, data collection, cleaning and analysis, implementation and testing, prototyping, and performance evaluation

Presenting project findings in front of the portfolio management team regularly

Key Qualifications

MSc or PhD candidate in machine learning, computer science, statistics, or a related field

Strong scientific programming in Python (preferred) or R or MATLAB

Who you are?

Intellectually curios and agile with a willing to learn about the industry

Excellent team player, able to work in a deadline-driven, fast-paced environment as part of a team

Strong time management, planning and organizational skills with the ability to multi-task

Strong communication skills, both written and verbal, ability to communicate effectively with team members, senior investment professionals and client coverage colleagues

High level of accuracy and attention to detail

Solutions-oriented, able to propose ideas to improve processes

Curious and willing to learn about the industry

Ability to deal with ambiguity

Please note this is a full time 12-month fixed term contract based in London, you need to have the right to work to be able to apply. We would like to start this role immediately.

Neuberger Berman is an equal opportunity/affirmative action employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com .

Learn about the Applicant Privacy Notice (http://www.nb.com/employee_privacy_notice) .

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